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Weekend Machine Vision Engineer Jobs in Rancho Cucamonga, CA

... Engineering tech Installation Maintenance Repair Configure Sofware Program Machine Machinery ... Machine Vision _ . Must have enough technical ability to: Attach control panels, actuators ...

... Engineering tech Installation Maintenance Repair Configure Sofware Program Machine Machinery ... Machine Vision _ . Must have enough technical ability to: Attach control panels, actuators ...

Methods Machine Tools, Inc. supplies high-quality, high-precision machine tools and automation ... Salary: $45-$65 p/hour Benefits: · Medical, Dental, Vision, Paid time off, Education Assistance ...

Job Type Full-time Description Methods Machine Tools, Inc. supplies high-quality, high-precision ... Salary: $45-$65 p/hour Benefits: • Medical, Dental, Vision, Paid time off, Education Assistance ...

Design Engineer

Placentia, CA · On-site

$100K - $120K/yr

... in motion control, robotics, machine vision, and industrial automation components. With a ... Master's degree in Engineering * Minimum of 5 years of Design Engineering experience is preferred ...

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Weekend Machine Vision Engineer information

See Rancho Cucamonga, CA salary details

$32.2K

$131.6K

$197.7K

How much do weekend machine vision engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for weekend machine vision engineer in Rancho Cucamonga, CA is $131,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $158,400.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

What are the key skills and qualifications needed to thrive as a Weekend Machine Vision Engineer, and why are they important?

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.
What cities near Rancho Cucamonga, CA are hiring for Weekend Machine Vision Engineer jobs? Cities near Rancho Cucamonga, CA with the most Weekend Machine Vision Engineer job openings:
Systems Principal Automation Engineer

Systems Principal Automation Engineer

Login Consulting Services Inc.

Monrovia, CA • On-site, Remote

Full-time

Posted 15 days ago


Job description

A leading manufacturer of equipment and systems for resistance welding, laser welding, laser marking, laser cutting, laser micromachining, and hot bar bonding, located in Monrovia, CA, is seeking a Systems Principal Automation Engineer for a full time role.
SUMMARY:
The Systems Operations department delivers integrated, intelligent systems using our 3D, Define-Design-Deliver, philosophy. The Systems Principal Automation Engineer (Principal Engineer) serves as the senior-most technical authority for software architecture, advanced controls, artificial intelligence and machine-learning systems, SCADA/HMI platforms, machine vision, and high reliability industrial automation in Systems Operations.
This position operates with minimal guidance from leadership and establishes technical direction across multidisciplinary engineering teams. Task assignments, project schedules, and backlog priorities are directed through the Engineering Services Manager or delegated Systems Operations technical leadership (Proposal Manager, Engineering Manager, and Automation Lead). The Principal Engineer is expected to self‑manage execution of these tasks with minimal oversight, driving technical quality, architecture decisions, and integration outcomes across Systems Operations.
RESPONSIBILITIES:
Engineering:
* The Principal Engineer will be assigned programming needs for production backlog and development projects.
* Architect and develop advanced software systems supporting automation, motion control, machine
vision, SCADA, safety systems, and distributed industrial operations.
* Architect SCADA/HMI systems for live visualization, diagnostics, alarms, and remote operations.
* Develop industrial data acquisition, historians, and plant-wide data networking (FactoryTalk, IIoT,
MQTT)
* Lead machine learning and AI development initiatives using PyTorch, TensorFlow, OpenCV, and/or HALCON.
* Develop classical and deep learning machines and vision applications using OpenCV or HALCON with custom neural networks or pipelines.
* Oversee dataset design, labeling workflows, training pipelines, and model validation/testing.
* Integrate edge AI hardware and accelerators or embedded inference engines.
* Design and validate real-time controls integrations across PLCs, CNCs, motion controllers, and industrial network systems.
* Develop industrial communication handshakes in Modbus TCP, OPC-UA, TCP/IP, Serial, or other fieldbus protocols.
* Ensure compliance with UL, CE, and NFPA standards governing safety and controls engineering.
* Lead development of machine-learning models for inspection, anomaly detection, automation
optimization, and predictive intelligence within Systems Operations.
* Design operator interfaces using WinForms, WPF, .NET, and industrial panel platforms.
* Author and enforce software architecture standards, reusable libraries, modular frameworks, and
support strategies.
* Utilize Azure DevOps for task assignments, backlog execution, tracking, code review, and revision
control across projects.
* Other projects and tasks assigned by the company from time to time.
Project Engineering:
* Work in and foster a team environment with other engineers, production, QA, test, materials
control, contract management, and sales personnel.
* Support and develop new software under direction of management.
* Prepare interface and functionality documentation for software modules.
* Develop and report on project plans and schedules for software development work.
* Prepare detailed engineering release documents and compliance documents.
Software and Controls Development:
* Analyze and recommend improvements to our present software development and design control
methodology.
* Mentor software and controls engineers on architecture, design patterns, and quality standards.
* Guide the team in adoption of emerging automation and AI technologies.
Supervisory Responsibilities: This job has no supervisory responsibilities.
POSITION REQUIREMENTS:
* Expert-level C# and .NET development experience.
* Expert-level understanding of Rockwell Automation software, specifically Studio 5000 Logix
Designer, RSLogix 500 and 5000.
* Deep expertise in software architecture, distributed systems, machine learning, computer vision, SCADA/HMI platforms, and real‑time industrial automation environments
o Experience with FactoryTalk View or database integration to move data between the PLC
and .NET layers.
* Proven ability to integrate using industrial communication protocols.
* Ability to interpret electrical, pneumatic, and mechanical drawings to support software and controls
design.
* Exceptional communication skills: this role will be communicating daily with internal and external
customers across multiple disciplines.
* Routine adjustment of working hours to support remote login of our worldwide customer base.
* Ability to travel occasionally.
EDUCATION & EXPERIENCE:
* Four-year degree in STEM degree or related discipline
o Master"s or PhD preferred.
* 10+ years in complex software architecture, automation systems, and controls engineering.
* 5+ years" experience in machine vision and AI/ML development.
* Project management training or certification (e.g., PMI, Agile) preferred.
OTHER QUALIFICATIONS:
* Attention to detail and being flexible to manage multiple tasks independently.
* Excellent verbal and written communication skills.
* Exceptional organization and time management skills.
* Proven ability to meet deadlines while performing task accurately.
* Initiative-taking with a keen sense of ownership in all areas of responsibility.* Punctual and dependable attendance.
* Understands company's basic philosophy and participates fully in conducting its mission.